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Dynamic analysis of a new type of linear vibrating screen with adjustable vibration direction angle
Full text linkTo address the limitations of conventional vibrating screens, such as restricted operational conditions and poor adaptability, this study proposes a new type of linear vibrating screen with an adjustable vibration direction angle. By altering the fixed positions of the bolts between the vibration motors and motor supports, the angle between the vibration direction and the screen surface can be modified to achieve vibration direction angle adjustment, thereby enabling the screen to adapt to diverse working conditions. Creo and ANSYS Workbench were employed to conduct dynamic analyses of this innovative design, revealing displacement and stress distribution maps under various vibration direction angles. The results demonstrate that the new type of vibrating screen exhibits excellent structural strength and stiffness, effectively meeting industry requirements. This study provides valuable insights into the design of linear vibrating screens
Simulation and testing of modal characteristics of automotive disc brake
Full text linkModal characteristics serve as a critical basis for evaluating the vibration and noise performance of automotive brakes. Using the finite element software ABAQUS, modal simulations were performed on the assembly comprising brake disc, brake pad, piston, caliper, and retainer, calculating the modal shapes and frequencies within the specified range. Modal parameters of each component within this range were obtained through measurements using a Doppler laser vibrometer and an NI data acquisition system, as well as hammering tests. By comparing the experimental and simulation results, it was found that the errors for all components were within 5 %, meeting the accuracy requirements. This validation confirms the accuracy of the structural and material parameters of each brake component. The results demonstrate that this type of brake is less susceptible to low-frequency resonance, as the first-order natural frequencies of both the brake disc and the brake pad exceed 1 kHz
Fatigue performance of corroded fatigue detail of weathering steel
Full text linkThis study evaluates the fatigue properties of corroded weathering steels to assess their long-term structural safety, durability, and economic feasibility. The fatigue life of two groups of weathering steel is measured by experiment. The first group consists of non-corroded specimens, while the second group is subjected to atmospheric corrosion for a duration of one year. The fatigue life of weathering steel is predicted by numerical calculation. It is found that the fatigue life of numerical simulation can accurately predict the fatigue life of butt weld specimens and provide a certain safety margin. The difference between the two is 2.5 %, which is a strong validation of the method. Then, Utilizing the ABAQUS and FRANC3D interactive platforms, the study achieves numerical computations for initial crack insertion and crack propagation under fatigue loading, and the influence of stress amplitude, initial crack size, initial crack shape, initial crack position, and welding dislocation on fatigue life is analyzed. Nine different stress amplitudes are simulated, and the fatigue life difference between the stress amplitudes of 117 MPa and 189 MPa being 31.72 %. Six different initial crack sizes are simulated. The initial crack sizes are 0.075 and 0.5 mm, and the difference in fatigue life between the two is 48.58 %. Four different initial crack shapes are simulated, and the fatigue life difference between the short axis and the long axis ratio of 1/4 and 1/1 of the initial crack is 30.70 %. Three initial crack positions are simulated, and the difference in fatigue life at different positions is less than 10 %. The effects of four different sets of angular dislocations on fatigue life are simulated. Angular misalignment in butt weld specimens has a minimal effect on fatigue performance, approximately 1 %, provided that the flatness requirements of the specifications are met. However, when the flatness requirements exceeded the specification, the effect on the specimen was greater than 30 %, and its effect cannot be ignored. Based on fatigue detail tests of corroded weathering steel, this paper proposes and validates a method for evaluating the fatigue life of weathering steel after corrosion, and clarifies the factors influencing the fatigue life of weathering steel structures, the proposed method can provide support for the design of fatigue details of weathering steel bridges
Dynamic response behaviors of buried pipelines subjected to the impact of spherical falling objects in cold regions
Full text linkImpact from falling objects can easily cause the local deformation of pipeline, which threatens the safe and stable operation of pipeline. In order to study the dynamic response behavior of impacted buried pipelines in cold regions, the buried pipelines, frozen soil and falling objects are taken as the object. Considering the nonlinearity of pipeline material, the contact nonlinearity between pipeline, falling objects and frozen soil, a double nonlinear dynamic analysis model of buried pipeline in cold regions is established by explicit dynamic analysis method. The rationality of the model method is verified by comparing the curves in this paper with those from the experiment. Furthermore, the changing laws of dynamic response of pipeline influenced by different factors are discussed. The results show that: when the buried depth of pipeline is 2 m, the deformation and residual stress of pipeline increase with the increase of pipeline’s diameter-to-thickness ratio, the impact velocity of falling object and the water content of frozen soil, and the impact velocity of falling objects influences the dynamic response behavior of pipelines most significantly, followed by the diameter-thickness ratio of pipelines and the water content of frozen soil; When the diameter-thickness ratio of the pipeline is 58, the deformation and residual stress of pipeline decrease with the increase of buried depth by 75 % and 88 % respectively. Among the four influencing factors, when the impact velocity of falling objects is 10 m/s and the buried depth of pipeline is 3 m, the deformation amplitude of pipelines caused by falling objects is the smallest. It is suggested that in the high-risk regions of falling objects, the diameter-thickness ratio, buried depth and the water content of frozen soil can be reasonably controlled under the condition of predicting the maximum potential impact velocity of falling objects, so as to improve the ability of the pipeline to resist external impact damage, which provides theoretical basis and quantitative control standards for the impact design of pipeline engineering in cold regions
Multi-scale information distillation attention network for super-resolution reconstruction of remote sensing images
Full text linkSuper-resolution (SR) is an effective and reasonable way to improve the spatial resolution of remote sensing images, which serve as an important information carriers for Earth observations. Compared to natural images, the more complex spatial distributions and more detailed ground information contained within remote sensing data place higher demands on the feature-representation ability of the model. Moreover, considering the deployment of these systems on mobile hardware, the complexity of the model is also an urgent issue. To overcome these problems, this study proposes the multi-size information distillation attention network (MSIDAN) for super-resolution reconstruction of remote sensing images. In the designed residual block, a multi-size information-distillation module is designed to distill and fuse multi-level semantic features step-by-step while reducing the number of model parameters. After this, an enhanced contrast-aware channel attention mechanism is employed to perceive high-frequency information by automatically encoding the weight values of candidate features. A large number of comparative experiments on four typical remote sensing image datasets demonstrate that MSIDAN outperforms other state-of-the-art approaches in both quantitative metrics and visual qualities. Compared to the information multi-distillation network (IMDN), MSIDAN improves the Peak Signal-to-Noise Ratio (PSNR) by 0.03312 dB, 0.06031 dB, 0.05319 dB, and 0.03812 dB on the RSSCN7, WHU-RS19, NWPU VHR-10, and COWC datasets, respectively. Moreover, in comparison to other comparable CNNs-based approaches, MSIDAN achieves a more favorable balance by jointly considering SR performance and model size. This technology provides valuable support for small target measurement and opens new opportunities in the field
Dynamics analysis and experiment of banana-shaped vibrating-dewatering screen
Full text linkBanana-shaped Vibrating-Dewatering Screen (BVDS) is effective for dehydrate and demud sand aggregate, fine coal slime, ore and other materials. In this paper, the mechanical structure of the BVDS was revealed by means of theoretical modeling, simulation research and experimental test, and its dynamic and vibration characteristics were studied. The mathematical model was established, and the dynamic curve and spatial trajectory of the BVDS were obtained by MATLAB/Simulink software. Lissajous displacement diagram shows that the spatial motion trajectory of the shaker is an oblique line. The vibration test was carried out by using dynamic characteristic test system, and the dynamic characteristics of displacement, velocity and acceleration of the BVDS were revealed. Finally, through theoretical analysis, the changing trend of vibration characteristics of the BVDS with the increase of rotating velocity was obtained. The results show that the experimental data is basically consistent with the theoretical data, and the deviation is less than 6.58 %, which verifies the accuracy of the theoretical model. This paper provides a reference for the design and efficient operation of the BVDS
Dynamic response and lightweight design of winding drum based on CAE technology
Full text linkTo enhance the rationality of the anchor winch drum structure design and reduce costs and energy consumption, a lightweight design scheme was put forward based on multi-objective optimization technology. According to the working principle, load characteristics, and composition of the anchor winch, a parameterized coupled model of modal and strength was established using the finite element method, from which the stress, deformation, natural frequency, and mode shapes characteristics of the drum part were obtained. Under the premise of not changing the assembly dimensions and not causing structural interference, the dimensions of the cylinder, side panels, and ribs were determined as design variables, and corresponding sensitivity analysis was derived. The maximum stress, first-order equivalent stiffness, and mass were set as the optimization targets, and the Kriging model was used as an approximating function in the construction of mathematical model. The standard criteria for evaluating the precision of the response surface model were chosen as the coefficient of determination, adjusted coefficient of determination, and root mean square error. Under the condition of maintaining equivalent stiffness without degradation, two lightweight design schemes were obtained under the conditions of no less than the initial stress peak value and 1.5 times the stress peak value. The results show that it is possible to achieve a weight reduction rate of 14.1 % without increasing the stress peak value and without reducing the equivalent stiffness, effectively achieving the design goal of energy saving and cost reduction
Pure IMU localization for intelligent platforms with CNN adaptive invariant extended Kalman filter noise fusion
Full text linkIn the context of intelligent vehicles, low- and medium- precision Inertial Measurement Units (IMU) are plagued by high levels of noise and considerable output uncertainly. When positioning and attitude estimation rely solely on IMU data, errors rapidly accumulate over time. To address this issue, this paper introduces a Convolutional Neural Network (CNN)-based noise-adaptive invariant extend Kalman filter (IEKF) vehicle localization. The proposed approach develops CNN models tailored for IMU measurement data as well as the process noise and observation noise in the IEKF. An enhanced CNN architecture and convolution mechanism are designed to dynamically adjust the covariance matrices associated with both process noise and observation noise in response to varying IMU input. This integration with IEKF principles ensures real-time positioning while achieving high accuracy in position prediction. The proposed method was tested and validated on 16 IMU sequences from the KITTI dataset, resulting in a relative translation error performance improvement ranging from a minimum of 10 % to a maximum of 24 % when compared to four existing methods. Additionally, its performance was further evaluated through various metrics including cumulative distribution of errors, root mean square error, and absolute position error. Trajectory tracking experiments further demonstrated that the proposed method produces smoother localization curves and more stable positioning performance
Energy analysis of living stumps slope based on Hilbert-Huang Transform and marginal spectrum
Full text linkA large-scale shaking table model test on a slope with living stumps was designed and conducted. Under various types of seismic waves and excitation intensities, acceleration data from monitoring points on both sides of the living stumps were collected. Hilbert-Huang Transform (HHT) was innovatively applied to study the dynamic response of slopes with living stumps under seismic loading, overcoming the limitations of traditional Fourier Transform and Wavelet Transform. The variation patterns of Hilbert energy and marginal spectral characteristics under different seismic excitations were analyzed, providing new insights from both time-frequency domain and energy perspectives. The research conclusion showed that: (1) Under different seismic waves, the horizontal peak acceleration inside the living stumps slope shows the elevation amplification effect, and increases with the intensity of excitation. Additionally, the existence of living stumps causes a difference in horizontal acceleration on both sides, and the absolute value of the difference is positively correlated with elevation and excitation intensity. (2) Under different seismic waves, Peak of Hilbert energy spectrum (PSHEA) is positively correlated with excitation intensity and elevation. With the increase of elevation, the increase of PSHEA increases gradually when the excitation intensity increases. PMSA is positively correlated with excitation intensity, but at low frequencies (1-3 Hz), Peak of marginal spectrum (PMSA) is negatively correlated with elevation; while at high frequencies (7-11 Hz), PMSA is positively correlated with elevation. (3) With increasing elevation and excitation intensity, the total seismic Hilbert energy continues to accumulate and reaches the maximum at the top of the slope. During the propagation of seismic waves, the living stumps and the rock-soil composite play the characteristics of filtering the low-frequency components and amplifying the high-frequency components, causing the total seismic Hilbert energy in the low-frequency (1-3 Hz) component to gradually decrease and transfer to the high-frequency (7-11 Hz) component, resulting in a significant increase in seismic Hilbert energy in the high-frequency component. (4) The superposition of incident wave and reflected wave near the living stumps, and the absorption of seismic Hilbert energy by the living stumps make the PSHEA, PMSA, and total seismic Hilbert energy on the outside of the living stumps always smaller than the inside, resulting in different dynamic responses on either side of the living stumps. The living stumps show attenuation effect on seismic Hilbert energy, and the attenuation degree increases with the increase of excitation intensity and elevation. The study provides a theoretical basis for the seismic design of living stumps slopes
Feature data analysis of dance movements by motion capture
Full text linkMotion capture technology has been applied in more and more fields, but the research in the field of dance is relatively rare. In order to combine motion capture technology with dance research, better understand the characteristics of dance movements, and provide support for their digital analysis, this paper mainly studied the application of a motion capture technology called Kinect in the analysis of dance movement feature data. The skeleton data of different dance movements was first collected based on Kinect v2, and then the collected data was analyzed using a spatio-temporal graph convolutional network (ST-GCN). On the basis of the original ST-GCN, the multi-branch structure was adopted to realize co-occurrence feature learning, and the bone length feature and direction feature were introduced to further enrich the feature data. Experiments were carried out on the NTU RGB+D and dance datasets. It was found that the improved ST-GCN had better performance than other current motion classification approaches on the NTU RGB+D. The top-1 accuracy for cross-subject (CS) and cross-view (CV) was 92.4 % and 96.7 %, respectively, and the average accuracy of different dance movements for the dance dataset was 96.035. The findings confirm the effectiveness of the proposed approach in the analysis of dance movement feature data, and it can be applied in the actual research of dance movements